Mindtickle is hiring a Customer Support Engineer - I to join our Customer Support Engineering team and become the frontline problem solver for a global enterprise SaaS platform and our award winning AI solutions.
This role is ideal for early-career engineers with up to 2 years of experience who enjoy solving real-world technical problems, engaging with global customers, communicating effectively, and continuously learning in a high-impact, fast-paced environment.
In this role, you will work closely with global customers and internal engineering teams across functions to understand, troubleshoot, and resolve complex technical issues. You will leverage and strengthen your fundamentals across cloud systems, backend services, APIs, data platforms, UI interactions, and AI-powered capabilities while developing deeper technical expertise and taking ownership of customer issues end to end.
Exposure to real-world, large-scale production systems supporting global enterprise customers across APIs, integrations, and AI-powered capabilities.
Opportunity to build deeper technical expertise in troubleshooting distributed systems, modern SaaS platforms, and AI-powered features.
Hands-on experience in incident management, advanced system diagnostics, root cause analysis, and cross-functional problem-solving.
Exposure to AI-native ways of working to accelerate debugging, technical investigation, analysis, and problem-solving.
Opportunities to take ownership of complex customer issues, drive resolutions, and collaborate with engineering and product teams.
A continuous learning environment that enables growth into advanced technical, product, and domain-specialist roles within Support.
The opportunity to influence product quality by identifying recurring patterns, sharing customer insights, improving documentation, and driving preventive improvements.
The Customer Support Engineer - I role focuses on diagnosing and resolving technical issues reported by enterprise customers using Mindtickle’s SaaS platform. You’ll investigate problems across system components, coordinate with internal teams, and help reduce recurring issues through customer insights and documentation.
Mindtickle is an enterprise revenue enablement software company that helps customer-facing teams improve sales readiness, execution and productivity. Its platform combines sales training, AI-powered role play, coaching, sales content management, conversation intelligence, digital sales rooms, analytics and deal guidance. Mindtickle's ElevateOS adds agentic AI capabilities that coach, guide and assist revenue teams using behavioral and deal context. The company serves large organizations across industries including technology, pharmaceuticals, medical devices, automotive and consumer goods, with customers including Cisco, Thomson Reuters and Johnson & Johnson.
Mindtickle offers candidates exposure to enterprise SaaS, AI and large-scale revenue enablement problems used by global customers such as Cisco, Thomson Reuters and Johnson & Johnson. Its current product direction includes agentic AI, AI role play, behavioral intelligence, conversation analysis and interoperable AI workflows, creating opportunities across AI, product, data and distributed systems engineering. Current engineering roles publicly reference technologies including Python, React, TypeScript, AWS, GCP, Kubernetes, Snowflake and BigQuery. The company has raised $281 million and reached a $1.2 billion valuation in its last disclosed Series E financing. Candidates should evaluate individual teams and roles alongside these company-level signals.
Programming Language
Frontend
Programming Language
Cloud Infrastructure
Cloud Infrastructure
Cloud Compute
Serverless Compute
Data Warehouse
Database
Messaging
Data Warehouse
Container Orchestration
Event Streaming
Database
Observability
API
AI Development
Developer Tools
Co-founder and CEO of Mindtickle, responsible for the company's vision and direction. Before Mindtickle, Krishna was Director of Product Management at PubMatic and worked at Microsoft, Infinera and Tejas Networks. He studied at IIT Roorkee and the Indian School of Business and has experience spanning engineering, product management and enterprise software.
Co-founder and COO of Mindtickle, responsible for technology, operations, security and reliability. Before starting Mindtickle, Deepak worked as a software engineer at PubMatic. He earned his undergraduate degree from IIT Bombay and has been closely involved in building Mindtickle's technology and operational capabilities.
Co-founder and Chief Customer Officer of Mindtickle, with a background in product strategy, user experience and design. Earlier in his career he worked at PubMatic and D. E. Shaw. Nishant studied at IIT Guwahati and has played leadership roles across product, customer experience and Mindtickle's US operations.
Co-founder of Mindtickle who helped establish the company's early sales training and readiness business. Before Mindtickle, he was a Director in PwC's management consulting practice. He holds an MSEE from Stanford University and an MBA from the Indian School of Business. He later went on to co-found OLOID.
No further details are available yet.
No further details are available yet.
PR Newswire
Mindtickle released the fourth edition of its annual revenue enablement benchmark study, analyzing platform activity from more than 400 companies, 1.5 million users and over one million sales calls to examine AI adoption, coaching, content and seller performance.
Read articleMindtickle
Mindtickle launched ElevateOS, an agentic operating system for revenue enablement that connects behavioral intelligence, AI coaching, deal guidance, content, buyer engagement and interoperable AI agents across revenue workflows.
Read articleMindtickle
Mindtickle announced an expansion of its AI capabilities at its Elevate summit, focused on applying AI across revenue enablement, seller readiness, coaching and go-to-market execution.
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